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Institutional Repository of Vilnius University

Neuroninių tinklų architektūros parinkimas /

Abstract

dc:description

In this thesis a novel technique is used to construct sparse generalized Gaussian Kernel regression model- so called neural network. Kernel which maximize Renyi entropy is used too. Experimental results obtained using these models are promising.

Degree

thesis:*
Grantor dc:publisher
Institutional Repository of Vilnius University
Year dc:date
2009

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Verbel, Irina,
Contributors dc:contributor
  • Vaitkus, Pranas

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language
lit

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:vu.lt:elaba:1999002

Chain of custody

source
Harvested from
Vilnius University
Base URL
epublications.vu.lt/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Verbel, Irina,. Neuroninių tinklų architektūros parinkimas /. Institutional Repository of Vilnius University, 2009. https://repository.vu.lt/VU:ELABAETD1999002&prefLang=en_US